13 Works

Data from: Temporal dynamics of seed excretion by wild ungulates: implications for plant dispersal

Mélanie Picard, Julien Papaïx, Frédéric Gosselin, Denis Picot, Eric Bideau & Christophe Baltzinger
Dispersal is a key process in metapopulation dynamics as it conditions species' spatial responses to gradients of abiotic and biotic conditions and triggers individual and gene flows. In the numerous plants that are dispersed through seed consumption by herbivores (endozoochory), the distance and effectiveness of dispersal is determined by the combined effects of seed retention time in the vector's digestive system, the spatial extent of its movements, and the ability of the seeds to germinate...

Data from: Genetic load, inbreeding depression and hybrid vigor covary with population size: an empirical evaluation of theoretical predictions

Jennifer N. Lohr & Christoph R. Haag
Reduced population size is thought to have strong consequences for evolutionary processes as it enhances the strength of genetic drift. In its interaction with selection, this is predicted to increase the genetic load, reduce inbreeding depression, and increase hybrid vigour, and in turn affect phenotypic evolution. Several of these predictions have been tested, but comprehensive studies controlling for confounding factors are scarce. Here we show that populations of Daphnia magna, which vary strongly in genetic...

Data from: Spatial autocorrelation in fitness affects the estimation of natural selection in the wild

Pascal Marrot, Dany Garant & Anne Charmantier
1. Natural selection is typically estimated in the wild using Lande and Arnold's multiple regression approach. Despite its utility for evolutionary ecologists, this method is subject to the classical assumptions of multiple regressions, which could result in potential analytical problems. In particular, spatial autocorrelation in fitness violates the assumption of residuals independence. Although widespread in the wild, the consequences of this effect have yet to be investigated in the context of Lande and Arnold's regression...

Data from: Population genomic footprints of fine-scale differentiation between habitats in Mediterranean blue tits

Marta Szulkin, Pierre-Alexandre Gagnaire, Nicolas Bierne, Anne Charmantier & P.-A. Gagnaire
Linking population genetic variation to the spatial heterogeneity of the environment is of fundamental interest to evolutionary biology and ecology, in particular when phenotypic differences between populations are observed at biologically small spatial scales. Here, we applied restriction-site associated DNA sequencing (RAD-Seq) to test whether phenotypically differentiated populations of wild blue tits (Cyanistes caeruleus) breeding in a highly heterogeneous environment exhibit genetic structure related to habitat type. Using 12106 SNPs in 197 individuals from deciduous...

Data from: Analysing biodiversity and conservation knowledge products to support regional environmental assessments

Thomas M. Brooks, H. Resit Akçakaya, Neil D. Burgess, Stuart H. M. Butchart, Craig Hilton-Taylor, Michael Hoffmann, Diego Juffe-Bignoli, Naomi Kingston, Brian MacSharry, Mike Parr, Laurence Perianin, Eugenie C. Regan, Ana S. L. Rodrigues, Carlo Rondinini, Yara Shennan-Farpon & Bruce E. Young
Two processes for regional environmental assessment are currently underway: the Global Environment Outlook (GEO) and Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES). Both face constraints of data, time, capacity, and resources. To support these assessments, we disaggregate three global knowledge products according to their regions and subregions. These products are: The IUCN Red List of Threatened Species, Key Biodiversity Areas (specifically Important Bird & Biodiversity Areas [IBAs], and Alliance for Zero Extinction [AZE] sites),...

Data from: Beyond magic traits: multimodal mating cues in Heliconius butterflies

Claire Mérot, Brigitte Frérot, Ene Leppik & Mathieu Joron
Species coexistence involves the evolution of reproductive barriers opposing gene flow. Heliconius butterflies display colorful patterns affecting mate choice and survival through warning signaling and mimicry. These patterns are called “magic traits” for speciation because divergent natural selection may promote mimicry shifts in pattern whose role as mating cue facilitates reproductive isolation. By contrast, between comimetic species, natural selection promotes pattern convergence. We addressed whether visual convergence interferes with reproductive isolation by testing for sexual...

Data from: Diversity in Müllerian mimicry: the optimal predator sampling strategy explains both local and regional polymorphism in prey

Thomas G. Aubier & Thomas N. Sherratt
The convergent evolution of warning signals in unpalatable species, known as Müllerian mimicry, has been observed in a wide variety of taxonomic groups. This form of mimicry is generally thought to have arisen as a consequence of local frequency-dependent selection imposed by sampling predators. However, despite clear evidence for local selection against rare warning signals, there appears an almost embarrassing amount of polymorphism in natural warning colors, both within and among populations. Because the model...

Data from: Ecosystem response to interventions: lessons from restored and created wetland ecosystems

David Moreno-Mateos, Paula Meli, María Isabel Vara-Rodriguez & James Aronson
1. Current efforts to restore and create ecosystems require greater understanding of ecosystems’ responses to commonly used physical and biological intervention approaches to overcome ecological and technological limitations. 2. We estimated effect sizes from measurements of biotic assemblage structure and biogeochemical functions at 628 restored and created wetlands globally, in comparison with 499 reference wetlands. We studied the recovery trajectories of wetlands where different restoration or creation approaches were used under different environmental settings. 3....

Data from: Low but contrasting neutral genetic differentiation shaped by winter temperature in European great tits

Mélissa Lemoine, Kay Lucek, Charles Perrier, Verena Saladin, Frank Adriaensen, Emilio Barba, Eduardo J. Belda, Anne Charmantier, Mariusz Cichon, Eeva Tapio, Arnaud Gregoire, Camilla A. Hinde, Arild Johnsen, Jan Komdeur, Raivo Mand, Erik Matthysen, Ana Claudia Norte, Natalia Pitala, Ben C. Sheldon, Tore Slagsvold, Joost M. Tinbergen, Janos Torok, Richard Ubels, Kees Van Oers, Marcel E. Visser … & Tapio Eeva
Gene flow is usually thought to reduce genetic divergence and impede local adaptation by homogenising gene pools between populations. However, evidence for local adaptation and phenotypic differentiation in highly mobile species, experiencing high levels of gene flow, is emerging. Assessing population genetic structure at different spatial scales is thus a crucial step towards understanding mechanisms underlying intraspecific differentiation and diversification. Here, we studied the population genetic structure of a highly mobile species – the great...

Data from: Simultaneous declines in summer survival of three shorebird species signals a flyway at risk

Theunis Piersma, Tamar Lok, Ying Chen, Chris J. Hassell, Hong-Yan Yang, Adrian Boyle, Matt Slaymaker, Ying-Chi Chan, David S. Melville, Zheng-Wang Zhang & Zhijun Ma
There is increasing concern about the world's animal migrations. With many land-use and climatological changes occurring simultaneously, pinning down the causes of large-scale conservation problems requires sophisticated and data-intensive approaches. Declining shorebird numbers along the East Asian–Australasian Flyway, in combination with data on habitat loss along the Yellow Sea (where these birds refuel during long-distance migrations), indicate a flyway under threat. If habitat loss at staging areas indeed leads to flyway-wide bird losses, we would...

Data from: Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding

Alice Valentini, Pierre Taberlet, Claude Miaud, Raphaël Civade, Jelger Herder, Philip Francis Thomsen, Eva Bellemain, Aurélien Besnard, Eric Coissac, Frédéric Boyer, Coline Gaboriaud, Pauline Jean, Nicolas Poulet, Nicolas Roset, Gordon H. Copp, Philippe Geniez, Didier Pont, Christine Argillier, Jean-Marc Baudoin, Tiphaine Peroux, Alain J. Crivelli, Anthony Olivier, Manon Acqueberge, Matthieu Le Brun, Peter Rask Møller … & Tony Dejean
Global biodiversity in freshwater and the oceans is declining at high rates. Reliable tools for assessing and monitoring aquatic biodiversity, especially for rare and secretive species, are important for efficient and timely management. Recent advances in DNA sequencing have provided a new tool for species detection from DNA present into the environment. In this study, we tested if an environmental DNA (eDNA) metabarcoding approach, using water samples, can be used for addressing significant questions in...

Data from: Avian malaria: a new lease of life for an old experimental model to study the evolutionary ecology of Plasmodium

Romain Pigeault, Julien Vézilier, Stéphane Cornet, Flore Zélé, Antoine Nicot, Philippe Perret, Sylvain Gandon & Ana Rivero
Avian malaria has historically played an important role as a model in the study of human malaria, being a stimulus for the development of medical parasitology. Avian malaria has recently come back to the research scene as a unique animal model to understand the ecology and evolution of the disease, both in the field and in the laboratory. Avian malaria is highly prevalent in birds and mosquitoes around the world and is amenable to laboratory...

Data from: Predicting bird phenology from space: satellite-derived vegetation green-up signal uncovers spatial variation in phenological synchrony between birds and their environment

Ella F. Cole, Peter R. Long, Przemyslaw Zelazowski, Marta Szulkin & Ben C. Sheldon
Population-level studies of how tit species (Parus spp.) track the changing phenology of their caterpillar food source have provided a model system allowing inference into how populations can adjust to changing climates, but are often limited because they implicitly assume all individuals experience similar environments. Ecologists are increasingly using satellite-derived data to quantify aspects of animals' environments, but so far studies examining phenology have generally done so at large spatial scales. Considering the scale at...

Registration Year

  • 2015

Resource Types

  • Dataset


  • Centre d'Ecologie Fonctionnelle et Evolutive
  • French National Centre for Scientific Research
  • University of Groningen
  • University of Oxford
  • University of Antwerp
  • Basque Centre for Climate Change
  • Stanford University
  • Université de Sherbrooke
  • Fudan University
  • United Nations Environment Programme